Chung-Wen Kuo

449 total citations
18 papers, 357 citations indexed

About

Chung-Wen Kuo is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Chung-Wen Kuo has authored 18 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Rheumatology. Recurrent topics in Chung-Wen Kuo's work include Mitochondrial Function and Pathology (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Viral-associated cancers and disorders (3 papers). Chung-Wen Kuo is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Viral-associated cancers and disorders (3 papers). Chung-Wen Kuo collaborates with scholars based in Taiwan, Netherlands and Germany. Chung-Wen Kuo's co-authors include Wei‐Shiung Lian, Feng‐Sheng Wang, Yushan Chen, Jih‐Yang Ko, Holger Jahr, Shaoyu Wang, Jian‐Ching Wu, Shaoyu Wang, Ming‐Hong Tai and Tsu‐Kung Lin and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Chung-Wen Kuo

17 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chung-Wen Kuo Taiwan 11 193 89 82 67 56 18 357
Zhonggai Chen China 9 155 0.8× 65 0.7× 136 1.7× 24 0.4× 54 1.0× 9 357
Keita Nagira Japan 7 186 1.0× 99 1.1× 198 2.4× 27 0.4× 58 1.0× 26 440
Maylin Almonte‐Becerril Mexico 8 174 0.9× 77 0.9× 200 2.4× 28 0.4× 101 1.8× 20 440
Kumiko Nakai Japan 10 151 0.8× 41 0.5× 52 0.6× 24 0.4× 25 0.4× 27 299
Ashleigh M. Philp United Kingdom 7 139 0.7× 122 1.4× 232 2.8× 29 0.4× 46 0.8× 9 406
Nadia Sassi Tunisia 13 207 1.1× 66 0.7× 166 2.0× 40 0.6× 17 0.3× 18 405
Wanqing Xie China 11 145 0.8× 43 0.5× 85 1.0× 16 0.2× 28 0.5× 19 304
Won‐Hyun Song South Korea 6 149 0.8× 94 1.1× 133 1.6× 39 0.6× 22 0.4× 8 394
Qin Fu China 12 244 1.3× 135 1.5× 27 0.3× 26 0.4× 21 0.4× 21 383

Countries citing papers authored by Chung-Wen Kuo

Since Specialization
Citations

This map shows the geographic impact of Chung-Wen Kuo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chung-Wen Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Wen Kuo more than expected).

Fields of papers citing papers by Chung-Wen Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Wen Kuo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chung-Wen Kuo. The network helps show where Chung-Wen Kuo may publish in the future.

Co-authorship network of co-authors of Chung-Wen Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Wen Kuo. A scholar is included among the top collaborators of Chung-Wen Kuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chung-Wen Kuo. Chung-Wen Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lai, Yu‐Hung, Wei‐Lun Liu, Tsung‐Ying Lee, et al.. (2022). Magnolol regulates miR-200c-3p to inhibit epithelial–mesenchymal transition and retinoblastoma progression by modulating the ZEB1/E-cadherin axis in vitro and in vivo. Phytomedicine. 110. 154597–154597. 5 indexed citations
2.
Kuo, Chung-Wen, et al.. (2020). Mitophagy loss along with mitochondrial dysfunction accelerates losing of chondrocyte activity in osteoarthritis. Osteoarthritis and Cartilage. 28. S68–S68.
3.
Kuo, Chung-Wen, et al.. (2020). Dopamine Therapy and the Regulation of Oxidative Stress and Mitochondrial DNA Copy Number in Patients with Parkinson’s Disease. Antioxidants. 9(11). 1159–1159. 14 indexed citations
4.
Chen, Yushan, Wei‐Shiung Lian, Chung-Wen Kuo, et al.. (2020). Epigenetic Regulation of Skeletal Tissue Integrity and Osteoporosis Development. International Journal of Molecular Sciences. 21(14). 4923–4923. 15 indexed citations
5.
Wang, Wen‐Hung, et al.. (2020). Expression of Rta in B Lymphocytes during Epstein–Barr Virus Latency. Journal of Molecular Biology. 432(19). 5227–5243. 3 indexed citations
6.
Lian, Wei‐Shiung, et al.. (2020). MicroRNA-128A interrupting circadian rhythmicity signaling to accelerate progress of osteoarthritis. Osteoarthritis and Cartilage. 28. S343–S344. 1 indexed citations
7.
Wang, Feng‐Sheng, Chung-Wen Kuo, Jih‐Yang Ko, et al.. (2020). Irisin Mitigates Oxidative Stress, Chondrocyte Dysfunction and Osteoarthritis Development through Regulating Mitochondrial Integrity and Autophagy. Antioxidants. 9(9). 810–810. 122 indexed citations
8.
Wang, Feng‐Sheng, Yushan Chen, Jih‐Yang Ko, et al.. (2020). Bromodomain Protein BRD4 Accelerates Glucocorticoid Dysregulation of Bone Mass and Marrow Adiposis by Modulating H3K9 and Foxp1. Cells. 9(6). 1500–1500. 10 indexed citations
9.
Tsai, Meng‐Han, Chung-Wen Kuo, Tsu‐Kung Lin, et al.. (2020). Ischemic Stroke Risk Associated with Mitochondrial Haplogroup F in the Asian Population. Cells. 9(8). 1885–1885. 13 indexed citations
10.
Lian, Wei‐Shiung, Jih‐Yang Ko, Yushan Chen, et al.. (2019). MicroRNA-29a represses osteoclast formation and protects against osteoporosis by regulating PCAF-mediated RANKL and CXCL12. Cell Death and Disease. 10(10). 705–705. 55 indexed citations
11.
Wu, Re‐Wen, Wei‐Shiung Lian, Yushan Chen, et al.. (2019). MicroRNA-29a Counteracts Glucocorticoid Induction of Bone Loss through Repressing TNFSF13b Modulation of Osteoclastogenesis. International Journal of Molecular Sciences. 20(20). 5141–5141. 15 indexed citations
12.
Wu, Re‐Wen, Wei‐Shiung Lian, Chung-Wen Kuo, et al.. (2019). S100 Calcium Binding Protein A9 Represses Angiogenic Activity and Aggravates Osteonecrosis of the Femoral Head. International Journal of Molecular Sciences. 20(22). 5786–5786. 8 indexed citations
13.
Ko, Jih‐Yang, et al.. (2019). MicroRNA-29a Mitigates Subacromial Bursa Fibrosis in Rotator Cuff Lesion with Shoulder Stiffness. International Journal of Molecular Sciences. 20(22). 5742–5742. 15 indexed citations
14.
Lian, Wei‐Shiung, Jih‐Yang Ko, Yushan Chen, et al.. (2018). Chaperonin 60 sustains osteoblast autophagy and counteracts glucocorticoid aggravation of osteoporosis by chaperoning RPTOR. Cell Death and Disease. 9(10). 741–741. 30 indexed citations
15.
Kuo, Chung-Wen, Meng‐Han Tsai, Tsu‐Kung Lin, et al.. (2017). mtDNA as a Mediator for Expression of Hypoxia-Inducible Factor 1α and ROS in Hypoxic Neuroblastoma Cells. International Journal of Molecular Sciences. 18(6). 1220–1220. 21 indexed citations
16.
Kuo, Chung-Wen, Wen‐Hung Wang, Tzu-Hsuan Chang, et al.. (2015). Transcriptional activation of Epstein–Barr virus BRLF1 by USF1 and Rta. Journal of General Virology. 96(9). 2855–2866. 7 indexed citations
17.
Wang, Wen‐Hung, et al.. (2015). Assembly of Epstein-Barr Virus Capsid in Promyelocytic Leukemia Nuclear Bodies. Journal of Virology. 89(17). 8922–8931. 17 indexed citations
18.
Kuo, Chung-Wen, Wen‐Hung Wang, & Shih‐Tung Liu. (2011). Mapping Signals That Are Important for Nuclear and Nucleolar Localization in MCRS2. Molecules and Cells. 31(6). 547–552. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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